In this paper, near-infrared spectroscopy(NIRS) was employed to analyze 129 batches of commercial products of Reduning Injection. The batch reporting rate was estimated according to the report of Reduning Injection in the direct adverse drug reaction(ADR) reporting system of the drug marketing authorization holder of the Center for Drug Reevaluation of the National Medical Products Administration(National Center for ADR Monitoring) from August 2021 to August 2022. According to the batch reporting rate, the samples of Reduning Injection were classified into those with potential risks and those being safe. No processing, random oversampling(ROS), random undersampling(RUS), and synthetic minority over-sampling technique(SMOTE) were then employed to balance the unbalanced data. After the samples were classified according to appropriate sampling methods, competitive adaptive reweighted sampling(CARS), successive projections algorithm(SPA), uninformative variables elimination(UVE), and genetic algorithm(GA) were respectively adopted to screen the features of spectral data. Then, support vector machine(SVM), logistic regression(LR), k-nearest neighbors(KNN), naive bayes(NB), random forest(RF), and artificial neural network(ANN) were adopted to establish the risk prediction models. The effects of the four feature extraction methods on the accuracy of the models were compared. The optimal method was selected, and bayesian optimization was performned to optimize the model parameters to improve the accuracy and robustness of model prediction. To explore the correlations between potential risks of clinical use and quality test data, TreeNet was employed to identify potential quality parameters affecting the clinical safety of Reduning Injection. The results showed that the models established with the SVM, LR, KNN, NB, RF, and ANN algorithms had the F1 scores of 0.85, 0.85, 0.86, 0.80, 0.88, and 0.85 and the accuracy of 88%, 88%, 88%, 85%, 91%, and 88%, respectively, and the prediction time was less than 5 s. The results indicated that the established models were accurate and efficient. Therefore, near infrared spectroscopy combined with machine learning algorithms can quickly predict the potential risks of clinical use of Reduning Injection in batches. Three key quality parameters that may affect clinical safety were identified by TreeNet, which provided a scientific basis for improving the safety standards of Reduning Injection.
Spectroscopy, Near-Infrared/methods* ; Drugs, Chinese Herbal/administration & dosage* ; Machine Learning ; Algorithms ; Humans ; Quality Control

This study investigates the mechanism by which Xintong Granules improve myocardial ischemia-reperfusion injury(MIRI) through the regulation of gut microbiota and their metabolites, specifically short-chain fatty acids(SCFAs). Rats were randomly divided based on body weight into the sham operation group, model group, low-dose Xintong Granules group(1.43 g·kg~(-1)·d~(-1)), medium-dose Xintong Granules group(2.86 g·kg~(-1)·d~(-1)), high-dose Xintong Granules group(5.72 g·kg~(-1)·d~(-1)), and metoprolol group(10 mg·kg~(-1)·d~(-1)). After 14 days of pre-administration, the MIRI rat model was established by ligating the left anterior descending coronary artery. The myocardial infarction area was assessed using the 2,3,5-triphenyltetrazolium chloride(TTC) staining method. Apoptosis in tissue cells was detected by the terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling(TUNEL) assay. Pathological changes in myocardial cells and colonic tissue were observed using hematoxylin-eosin(HE) staining. The levels of tumor necrosis factor-α(TNF-α), interleukin-1β(IL-1β), interleukin-6(IL-6), creatine kinase MB isoenzyme(CK-MB), and cardiac troponin T(cTnT) in rat serum were quantitatively measured using enzyme-linked immunosorbent assay(ELISA) kits. The activities of lactate dehydrogenase(LDH), creatine kinase(CK), and superoxide dismutase(SOD) in myocardial tissue, as well as the level of malondialdehyde(MDA), were determined using colorimetric assays. Gut microbiota composition was analyzed by 16S rDNA sequencing, and fecal SCFAs were quantified using gas chromatography-mass spectrometry(GC-MS). The results show that Xintong Granules significantly reduced the myocardial infarction area, suppressed cardiomyocyte apoptosis, and decreased serum levels of pro-inflammatory cytokines(TNF-α, IL-1β, and IL-6), myocardial injury markers(CK-MB, cTnT, LDH, and CK), and oxidative stress marker MDA. Additionally, Xintong Granules significantly improved intestinal inflammation in MIRI rats, regulated gut microbiota composition and diversity, and increased the levels of SCFAs(acetate, propionate, isobutyrate, etc.). In summary, Xintong Granules effectively alleviate MIRI symptoms. This study preliminarily confirms that Xintong Granules exert their inhibitory effects on MIRI by regulating gut microbiota imbalance and increasing SCFA levels.
Animals ; Gastrointestinal Microbiome/drug effects* ; Rats ; Male ; Myocardial Reperfusion Injury/genetics* ; Drugs, Chinese Herbal/administration & dosage* ; Rats, Sprague-Dawley ; Apoptosis/drug effects* ; Humans ; Tumor Necrosis Factor-alpha/metabolism* ; Interleukin-6/genetics* ; Malondialdehyde/metabolism*

OBJECTIVES: To report the development, validation, and findings of the Multi-dimensional Attention Rating Scale (MARS), a self-report tool crafted to evaluate six-dimension attention levels. METHODS: The MARS was developed based on Classical Test Theory (CTT). Totally 202 highly educated healthy adult participants were recruited for reliability and validity tests. Reliability was measured using Cronbach's alpha and test-retest reliability. Structural validity was explored using principal component analysis. Criterion validity was analyzed by correlating MARS scores with the Toronto Hospital Alertness Test (THAT), the Attentional Control Scale (ACS), and the Attention Network Test (ANT). RESULTS: The MARS comprises 12 items spanning six distinct dimensions of attention: focused attention, sustained attention, shifting attention, selective attention, divided attention, and response inhibition.As assessed by six experts, the content validation index (CVI) was 0.95, the Cronbach's alpha for the MARS was 0.78, and the test-retest reliability was 0.81. Four factors were identified (cumulative variance contribution rate 68.79%). The total score of MARS was correlated positively with THAT (r = 0.60, P < 0.01) and ACS (r = 0.78, P < 0.01) and negatively with ANT's reaction time for alerting (r = -0.31, P = 0.049). CONCLUSIONS The MARS can reliably and validly assess six-dimension attention levels in real-world settings and is expected to be a new tool for assessing multi-dimensional attention impairments in different mental disorders.
Humans ; Adult ; Male ; Attention/physiology* ; Female ; Middle Aged ; Reproducibility of Results ; Young Adult ; Psychometrics

Objective To investigate the relationship between serum 25-hydroxyvitamin D3[25(OH)D3],red blood cell distribution width(RDW)and retinopathy of prematurity(ROP).Methods Children with ROP admitted to the hospital from May 2018 to May 2023 were selected as the study group(n=202),and 200 premature infants without ROP were selected as the control group(n=200).According to the degree of ROP lesions,the 202 children with ROP were divided into a mild group(n=109)and a severe group(n=93).The serum 25(OH)D3 and RDW levels of all subjects were detected.The receiver operating characteristic(ROC)curve was used to evaluate the evaluation value of serum 25(OH)D3 and RDW on the severity of ROP in chil-dren,and the influencing factors of the severity of ROP in children were analyzed by multivariate Logistic re-gression.Results The serum 25(OH)D3 level in the study group was significantly lower than that in the con-trol group,and the RDW level in the study group was higher than that in the control group,and the differenc-ese were statistiacally significant(P＜0.05).The serum 25(OH)D3 level in the severe group was significantly lower than that in the mild group,and the RDW level in the severe group was significantly higher than that in the mild group,and the differencese were statistiacally significant(P＜0.05).The area under the curve(AUC)of serum 25(OH)D3 and RDW for predicting the severity of ROP children were 0.754(95％CI:0.703-0.804)and 0.813(95％CI:0.768-0.862),respectively,and the AUC of the combined prediction of the two was 0.901(95％CI:0.853-0.947).There were statistically significant differences in birth weight and mechanical ventilation ratio between the mild group and the severe group(P＜0.05).Multivariate Logis-tic regression results showed that 25(OH)D3＜18.08 ng/mL(OR=3.251,95％CI:1.689-6.257),RDW≥69.41％(OR=3.691,95％CI:1.830-7.446)were risk factors affecting the severity of ROP children(P＜0.05).Conclusion The low expression of serum 25(OH)D3 and the high expression of RDW are closely related to the occurrence of ROP,and could be used as potential markers to evaluate the severity of ROP in children.

Objective To deeply explore the principles of drug combinations in the treatment of vitiligo by traditional Chinese medicine master XUAN Guo-Wei by data mining technology,and to analyze the potential mechanism of action of the core drug pairs by network pharmacology.Methods The original case records of Professor XUAN Guo-Wei in treating vitiligo were compiled,and then TCM inheritance Computing Platform was used to analyze the frequency of drugs in the prescriptions,the association rules between drugs,and the core combinations of drugs by the association rule method,and the core drug pairs of Professor XUAN Guo-Wei's treatment of vitiligo were obtained based on the results of the data mining,additionally,the mechanism of the core pairs of drugs was analyzed by using the method of network pharmacology.Results A total of 243 prescriptions were collected,among which the high-frequency drugs were Glycyrrhizae Radix et Rhizoma,Tribuli Fructus,Ecliptae Herba,Cuscutae Semen,Scrophulariae Radix,Angelicae Dahuricae Radix,etc.,and the core pair was Tribuli Fructus-Ecliptae Herba.The main components of Tribuli Fructus-Ecliptae Herba for the treatment of vitiligo were quercetin,kaempferol,etc.,there were 47 targets for the intersection of the active ingredients with the disease,among which TP53,TNF,IL-1β,CASP3,VEGFA,PTGS2,IL10,IL2,IFNG,and IL4 may be the core targets for the treatment of vitiligo by Tribuli Fructus-Ecliptae Herba.The main pathways of Tribuli Fructus-Ecliptae Herba drug pairs against the disease were PI3K-Akt signaling pathway,NF-κB signaling pathway,JAK-STAT signaling pathway and MAPK signaling pathway.Conclusion The core drug pair of Professor XUAN Guo-Wei in the treatment of vitiligo is Tribuli Fructus-Ecliptae Herba,which involves targets such as TP53,TNF,IL-1β,CASP3,VEGFA,PTGS2,IL10,IL2,IFNG,IL4,etc.,Tribuli Fructus-Ecliptae Herba drug pair maybe exert an effect in the treatment of vitiligo through PI3K-Akt signaling pathway,NF-κB signaling pathway,JAK-STAT signaling pathway and MAPK signaling pathway.

Tooth extraction is a common and widely employed therapeutic procedure in oral and maxillofacial surgery.Minimally invasive tooth extraction can reduce both physical and psychological trauma to the patients,and is widely recommended as a first-line clinical treatment.But currently no guidelines or consensus has been available to provide a systematic introduction of minimally invasive tooth extraction to guide the clinical practices.To address this issue,this consensus,based on a comprehensive literature review and clinical experiences of experts,systematically summarizes the indications,target patients,and contraindications of minimally invasive tooth extraction,the overall workflow of this procedure(preoperative preparation,surgical steps,postoperative management,postoperative instructions,medications,and follow-up),and its common postoperative complications to provide a comprehensive guidance for clinical application of this technique.

ATG8-binding proteins play a key role in autophagy, selective autophagy or non-autophagy process by interacting between ATG8 and the ATG8-interacting motif (AIM) or the ubiquitin-interacting motif (UIM). There is great progress of ATG8-binding proteins in yeast and mammalian studies. However, the plant domain is still lagging behind. Therefore, the structure characteristics of plant ATG8 binding protein were firstly outlined. Unlike the single copy of ATG8 gene in yeast, many homologous genes have been identified in plant. The LIR/ AIM-docking site (LDS) of ATG8 protein contains W and L pockets and is responsible for binding to AIM. The ATG8 protein binds to UIM-containing proteins via UIM-docking site (UDS) instead of LDS. UDS is in the opposite position to LDS, so the ATG8 can bind both AIM and UIM proteins. Secondly, the structure and function of ATG8-binding proteins, especially the selective autophagy receptors, were systematically described. The protein NBR1 and Joka2, as proteaphagy receptors, guide ubiquitination protein aggregates to autophagosome for degradation by binding to AIM and ATG8 in Arabidopsis and tobacco, respectively. AtNBR1 also promotes plant immunity by binding the capsid protein of cauliflower mosaic virus and silencing suppressor HCpro of turnip mosaic virus, mediating pathogen autophagy. AtNBR1 still degrades chloroplast by microautophagy under photoinjure or chlorophagy during ibiotic stress. And the protein ORM mediates the degradation of plant immune receptor flagellin sensing 2 (FLS2) through AIM binding to ATG8. Interestingly, ATI1 and ATI2 participate in both chlorophagy and ERphagy. Otherwise, ER membrane protein AtSec62, soluble protein AtC53, and ubiquitin-fold modifier1-specific ligase 1 (UFL1) can be directly bound to ATG8 as ER autophagy receptors. As pexophagy receptor, AtPEX6 and AtPEX10 bind to ATG8 via AIM and participate in pexophagy. RPN10, as a 26S proteasome subunit, whose C-terminal UIM1 and UIM2 bind ubiquitin and ATG8, respectively, mediates the selective autophagy degradation of 26S proteasome inactivation when fully ubiquitinated. Plant-specific mitochondrial localization proteins FCS-like zinc finger (FLZ) and friendly (FMT) may also be mitophagy receptors. CLC2 binds to ATG8 via the AIM-LDS docking site and is recruited to autophagy degradation on the Golgi membrane. The tryptophan-rich sensory protein (TSPO) in Arabidopsis was involved in clearing free heme, porphyrin and plasma membrane intrinsic protein 2;7 (PIP2;7) through the combination of AIM and ATG8. The conformation of GSNOR1 changes during anoxia, exposing the interaction between AIM and ATG8, leading to selective degradation of GSNOR1. At last, the ATG8 binding proteins involved in autophagosome closure, transport and synthetic synthesis was summarized. For example, plant-specific FYVE domain protein required for endosomal sorting 1 (FREE1) is involved in the closure of autophagosomes during nutrient deficiency. Therefore, according to the recent research advances, the structure and function of plant ATG8-binding proteins were systematically summarized in this paper, in order to provide new ideas for the study of plant selective autophagy and autophagy.